×

On the normalization of fuzzy belief structures. (English) Zbl 0935.03036

Summary: The issue of normalization in the fuzzy Dempster-Shafer theory of evidence is investigated. We suggest a normalization procedure called smooth normalization. It is shown that this procedure is a generalization of the usual Dempster normalization procedure. We also show that the usual process of normalizing an individual subnormal fuzzy subset by proportionally increasing the membership grades until the maximum membership grade is one is a special case of this smooth normalization process and in turn closely related to the Dempster normalization process. We look at an alternative generalization process in the fuzzy Dempster-Shafer environment based on adding to the membership grade of subnormal focal elements the amount by which the fuzzy subset is subnormal.

MSC:

03B52 Fuzzy logic; logic of vagueness
03B42 Logics of knowledge and belief (including belief change)
68T30 Knowledge representation
PDF BibTeX XML Cite
Full Text: DOI

References:

[1] Shafer, G., A mathematical theory of evidence, (1976), Princeton U.P Princeton, N.J · Zbl 0359.62002
[2] Smets, P., Belief functions, (), 253-277
[3] Yager, R.R.; Kacprzyk, J.; Fedrizzi, M., Advances in the Dempster-Shafer theory of evidence, (1994), Wiley New York · Zbl 0816.68110
[4] Zadeh, L.A., On the validity of Dempster’s rule of combination of evidence, ()
[5] Zadeh, L.A., A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination, AI mag., 85-90, (1986), Summer
[6] Smets, P.; Kennes, R., The transferable belief model, Artif. intell., 66, 191-234, (1994) · Zbl 0807.68087
[7] Kohlas, J.; Monney, P.A., Theory of evidence: A survey of its mathematical foundations, applications and computations, ZOR math. method oper. res., 39, 35-68, (1994) · Zbl 0798.90088
[8] Smets, P., Nonstandard probabilistic and nonprobabilistic representations of uncertainty, (), 13-38
[9] Dubois, D.; Prade, H., On several representations of an uncertain body of evidence, (), 309-322
[10] Dempster, A.P., Upper and lower probabilities induced by a multi-valued mapping, Ann. math. statist., 38, 325-339, (1967) · Zbl 0168.17501
[11] Dempster, A.P., A generalization of Bayesian inference, J. roy. statist. soc., 205-247, (1968) · Zbl 0169.21301
[12] Yager, R.R., On the Dempster-Shafer framework and new combination rules, Inform. sci., 41, 93-137, (1987) · Zbl 0629.68092
[13] Yen, J., Generalizing the Dempster-Shafer theory to fuzzy sets, IEEE trans. systems man cybernet., 20, 559-570, (1990) · Zbl 1134.68565
[14] Zadeh, L.A., Fuzzy sets and information granularity, (), 3-18 · Zbl 0377.04002
[15] Goodman, I.R.; Nguyen, H.T., Uncertainty models for knowledge-based systems, (1985), North-Holland Amsterdam
[16] Negoita, C.V.; Ralescu, D., Applications of fuzzy sets to systems analysis, (1975), Wiley New York · Zbl 0326.94002
[17] Dubois, D.; Prade, H., Fuzzy sets and systems: theory and applications, (1980), Academic New York · Zbl 0444.94049
[18] Yager, R.R., Arithmetic and other operations on Dempster-Shafer structures, Internat. J. man-machine stud., 25, 357-366, (1986) · Zbl 0653.68106
[19] Yager, R.R., Measuring tranquility and anxiety in decision making: an application of fuzzy sets, Internat. J. gen. systems, 8, 139-146, (1982) · Zbl 0487.90007
[20] Yager, R.R., On the specificity of a possibility distribution, Fuzzy sets and systems, 50, 279-292, (1992) · Zbl 0783.94035
[21] Yager, R.R., Entropy and specificity in a mathematical theory of evidence, Internat. J. gen. systems, 9, 249-260, (1983) · Zbl 0521.94008
[22] Yager, R.R.; Filev, D.P., On the issue of defuzzification and selection based on a fuzzy set, Fuzzy sets and systems, 55, 255-272, (1993) · Zbl 0785.93060
[23] Filev, D.; Yager, R.R., A generalized defuzzification method under BAD distributions, Internat. J. intell. systems, 6, 687-697, (1991) · Zbl 0752.93040
[24] Yager, R.R.; Filev, D.P., Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory, IEEE trans. systems man cybernet., 25, 1221-1230, (1995)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.